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The Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) PDF dumps format can be accessed from any smart device such as laptops, tablets, and smartphones. ExamTorrent regularly updates the Confluent CCDAK PDF Questions to reflect the latest Confluent CCDAK exam content. All test questions in the Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) exam PDF format are real and latest.

Confluent CCDAK Exam Syllabus Topics:

SectionObjectives
Topic 1: Kafka Streams and Processing- Kafka Streams API
  • 1. Stateful vs stateless processing
    • 2. Stream processing fundamentals
      - Event processing patterns
      • 1. Exactly-once semantics
        • 2. Windowing and aggregation
          Topic 2: Kafka Producers and Consumers- Consumer API
          • 1. Consumer groups
            • 2. Rebalancing and offset commits
              - Producer API
              • 1. Reliability and acknowledgments
                • 2. Serialization and partitioning strategies
                  Topic 3: Kafka Ecosystem and Confluent Platform- Schema Registry
                  • 1. Avro, Protobuf, JSON Schema usage
                    - ksqlDB and connectors
                    • 1. Kafka Connect basics
                      • 2. Stream querying concepts
                        Topic 4: Kafka Fundamentals- Data flow in Kafka
                        • 1. Offset management
                          • 2. Producer and consumer model
                            - Kafka architecture and core concepts
                            • 1. Brokers, topics, partitions
                              • 2. Replication and fault tolerance

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                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q57-Q62):

                                NEW QUESTION # 57
                                To prevent network-induced duplicates when producing to Kafka, I should use

                                Answer: D

                                Explanation:
                                Producer idempotence helps prevent the network introduced duplicates. More details herehttps://cwiki.apache.
                                org/confluence/display/KAFKA/Idempotent+Producer


                                NEW QUESTION # 58
                                A customer has many consumer applications that process messages from a Kafka topic. Each consumer application can only process 50 MB/s. Your customer wants to achieve a target throughput of 1 GB/s. What is the minimum number of partitions will you suggest to the customer for that particular topic?

                                Answer: C

                                Explanation:
                                each consumer can process only 50 MB/s, so we need at least 20 consumers consuming one partition so that 50 * 20 = 1000 MB target is achieved.


                                NEW QUESTION # 59
                                What are the requirements for a Kafka broker to connect to a Zookeeper ensemble? (select two)

                                Answer: A,C

                                Explanation:
                                Each broker must have a unique broker id and connect to the same zk ensemble and root zNode


                                NEW QUESTION # 60
                                You have a consumer group with default configuration settings reading messages from your Kafka cluster.
                                You want to optimize its throughput so the consumer group processes more messages in the same amount of time.
                                Which changes increase the consumption throughput?

                                Answer: A


                                NEW QUESTION # 61
                                What happens if you write the following code in your producer? producer.send(producerRecord).get()

                                Answer: B

                                Explanation:
                                Using Future.get() to wait for a reply from Kafka will limit throughput.


                                NEW QUESTION # 62
                                ......

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